meme_scorer.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import networkx as nx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#read graph here from file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "graph=pd.read_csv('graph_stripped.csv',header=-1,nrows=1000)\n",
    "graph.columns =  ['year','from','to']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>from</th>\n",
       "      <th>to</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1880</td>\n",
       "      <td>XB0P5FQNB5G0</td>\n",
       "      <td>XFJCTF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1880</td>\n",
       "      <td>XDOL27QNB5G0</td>\n",
       "      <td>XFJBG1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1880</td>\n",
       "      <td>XDOL27QNB5G0</td>\n",
       "      <td>XFJC27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1880</td>\n",
       "      <td>XDOL7RQNB5G0</td>\n",
       "      <td>XFJCJR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1880</td>\n",
       "      <td>XFIIQD</td>\n",
       "      <td>XFKDFI</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year          from      to\n",
       "0  1880  XB0P5FQNB5G0  XFJCTF\n",
       "1  1880  XDOL27QNB5G0  XFJBG1\n",
       "2  1880  XDOL27QNB5G0  XFJC27\n",
       "3  1880  XDOL7RQNB5G0  XFJCJR\n",
       "4  1880        XFIIQD  XFKDFI"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "graph.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "nnx.Graph.add_node()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def meme_scorer(g, meme):\n",
    "    if meme in g:\n",
    "    "
   ]
  }
 ],
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